Smart Agriculture Management of Intelligent Things Using NB-IoT

Authors

  • Dinesh Valluru, Gnanendra Kotikam, Kaku Haribabu

Abstract

Agriculture is very important since our early days and we can call India as Land of Agriculture. More than 60 to 70 % of Indian population are farmers. This field contributes over 20% of our Gross Domestic Product. So that we are making the agriculture to be smart rather than Hard using Internet of Things. The main objective of these smart devices using NB-IOT makes this field not to be in backlogs. Hence we want to make this field to be more active by using some Internet of things and Machine Learning approaches. Hence we are designing an Intelligent Agriculture Management System using Narrow Band IOT which helps farmers to improve their productivity with latest innovative reforms. Our NB-IOT method uses multiple sensors and considers various environmental factors without wasting resources by using a innovative techniques called precision agriculture. All the data what we have gathered and the results will be displayed as Graphs . The proposed IoT Narrow Band implements edge computing for the design of latency criteria for agriculture.

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Published

2021-02-01

How to Cite

Dinesh Valluru, Gnanendra Kotikam, Kaku Haribabu. (2021). Smart Agriculture Management of Intelligent Things Using NB-IoT. International Journal of Modern Agriculture, 10(1), 78-86. Retrieved from https://modern-journals.com/index.php/ijma/article/view/535

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Articles